capacity
Discovers available Azure OpenAI model capacity across regions and projects. Analyzes quota limits, compares availability, and recommends optimal deployment locations based on capacity requirements. USE FOR: find capacity, check quota, where can I deploy, capacity discovery, best region for capacity, multi-project capacity search, quota analysis, model availability, region comparison, check TPM availability. DO NOT USE FOR: actual deployment (hand off to preset or customize after discovery), quota increase requests (direct user to Azure Portal), listing existing deployments.
Profile →npx skills add microsoft/azure-skills --skill capacity --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Capacity Discovery Finds available Azure OpenAI model capacity across all accessible regions and projects. Recommends the best deployment location based on capacity requirements. ## Quick Reference | Property | Description | |----------|-------------| | **Purpose** | Find where you can deploy a model with sufficient capacity | | **Scope** | All regions and projects the user has access to | | **Output** | Ranked table of regions/projects with available capacity | | **Action** | Read-only analysis — does NOT deploy. Hands off to preset or customize | | **Authentication** | Azure CLI (`az login`) | ## When to Use This Skill - ✅ User asks "where can I deploy gpt-4o?" - ✅ User specifies a capacity target: "find a region with 10K TPM for gpt-4o" - ✅ User wants to compare availability: "which regions have gpt-4o available?" - ✅ User got a quota error and needs to find an alternative location - ✅ User asks "best region and project for deploying model X" **After discovery → hand off to [preset](../preset/SKILL.md) or [customize](../customize/SKILL.md) for actual deployment.** ## Scripts Pre-built scripts handle the complex REST API calls and data processing. Use these instead of construct
- Quick Reference
- When to Use This Skill
- Scripts
- Workflow
- Phase 1: Validate Prerequisites
- Phase 2: Identify Model and Version
- Phase 3: Run Discovery
- Phase 3.5: Validate Subscription Quota
- Phase 4: Present Results and Hand Off
- Phase 5: Confirm Project Before Deploying
- Error Handling
- Related Skills
az account show --query "{Subscription:name, SubscriptionId:id}" --output table
For each candidate region from discovery results:
Extract quota for specific SKU+modelWhat does the capacity skill do?
Discovers available Azure OpenAI model capacity across regions and projects. Analyzes quota limits, compares availability, and recommends optimal deployment locations based on capacity requirements. USE FOR: find capacity, check quota, where can I deploy, capacity discovery, best region for capacity, multi-project capacity search, quota analysis, model availability, region comparison, check TPM availability. DO NOT USE FOR: actual deployment (hand off to preset or customize after discovery), quota increase requests (direct user to Azure Portal), listing existing deployments.
How do I install it?
Run `npx skills add microsoft/azure-skills --skill capacity --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From microsoft/azure-skills, a repository with 1,353 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.